cosine_similarity

README

Cosine Similarity

This package provides a function for calculating the cosine similarity between two vectors represented as maps of float64 values.

Installation

To install this package, run the following command:

go get github.com/ugurkorkmaz/multiversal

Usage

Import the package in your Go code:

import "github.com/ugurkorkmaz/multiversal/cosine_similarity"

To find the cosine similarity between two vectors, call the Find function with two maps of float64 values:

vectorOne := map[string]float64{
	"a": 1.0,
	"b": 2.0,
	"c": 3.0,
}

vectorSecond := map[string]float64{
	"a": 3.0,
	"b": 2.0,
	"c": 1.0,
}

similarity := cosine_similarity.Find(vectorOne, vectorSecond)

The Find function returns the cosine similarity between the two vectors as a float64 value.

Example

package main

import (
	"fmt"
	"github.com/ugurkorkmaz/multiversal/cosine_similarity"
)

func main() {
	vectorOne := map[string]float64{
		"a": 1.0,
		"b": 2.0,
		"c": 3.0,
	}

	vectorSecond := map[string]float64{
		"a": 3.0,
		"b": 2.0,
		"c": 1.0,
	}

	similarity := cosine_similarity.Find(vectorOne, vectorSecond)

	fmt.Println(similarity)
	// Output: 0.7142857142857143
}

License

This package is licensed under the MIT License. See the LICENSE file for details.

Documentation

Index

• func Find(vectorOne, vectorSecond map[string]float64) float64

Functions

func Find

func Find(vectorOne, vectorSecond map[string]float64) float64

The Find function calculates the cosine similarity between two vectors represented as maps of float64 values.

@param vectorOne Map of float64 values representing the first vector.

@param vectorSecond Map of float64 values representing the second vector.

@returns Cosine similarity between two vectors as a float64 value.